Emerging 3D Vision Technologies

August 27, 2019

Noon - 1 PM ET


Robots with three-dimensional (3D) vision capabilities complete more than one task without reprogramming and account for unforeseen variables in work environments. Further, 3D vision allows a robot to recognize what’s in front of it, to a certain extent, and react accordingly. Today, 3D imaging is commonly applied in metrology, guidance and defect analysis. Attendees of this webinar will discover key components and techniques for delivering 3D images in machine vision, and outline how these are used in different applications.

This webinar will:

  • Highlight the extensive range of 3D components available for machine vision.
  • Explain how 3D components work.
  • Outline specific applications and how different components are targeted for these applications.
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Image of David Dechow

David Dechow

David L. Dechow is a globally recognized expert in machine vision integration and technologies. He is the Principal Vision Systems Architect for Integro Technologies Corp., where he works with sales and engineering teams in the application evaluation and design of complex turnkey machine vision solutions. Prior to his position at Integro, he was Staff Engineer for Intelligent Robotics/Machine Vision at FANUC, and earlier was the founder, owner, and principal engineer for two successful machine vision systems integration firms.

Mr. Dechow is a recipient of the AIA Automated Imaging Achievement Award honoring industry leaders for outstanding career contributions in industrial and/or scientific imaging. He is a member of the Automated Imaging Association Board of Directors, and serves on the editorial advisory board of Vision Systems Design magazine.

As a key educator within the industry for many years, Mr. Dechow has participated in the training of hundreds of engineers as an instructor with the AIA Certified Vision Professional program. He is well known for his many informative technical articles, webinars and conference sessions which span a wide range of machine vision topics and technologies.

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